Namaste! 🙏
I am Rutu, a

Currently a Master's student in Computer Science at The George Washington Univeristy. I am researching multiple areas in systems like eBPF in Database Security, Network Function Virtualization, and Energy-Efficient Machine Learning. Before this, I worked for 4 years on building AI Infrastructure at Syncron where I played roles of DevOps, Data Scientist, Software Developer, Machine Learning Engineer, and more. I am adept at learning abstract concepts and applying them across different domains, which helps me come up with creative solutions.

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Rutu

Education

Rutu

  1. Graduate

    The George Washington University

    Washington, D.C.

    Master of Science, Computer Science

    School of Engineering and Applied Sciences

    Coursework: Advanced Operating Systems, Distributed Systems, Research, Unix, Advanced Algorithms

    Research under Dr. Timothy Wood

  2. Undergraduate

    Bangalore Univeristy

    Bangalore, India

    Bachelor of Engineering, Computer Science and Engineering

    University Visvesvaraya College of Engineering

Work

  1. Graduate Teaching Assistant

    The George Washington University

    Washington, D.C.

    Spring'25: Computer Architecture and Organization

    Fall'24: Systems Programming

  2. Software Engineer

    Syncron

    Bangalore, India

    • As an integral part of Syncron.AI, worked with Data Scientists, Architects, & Engineers to upgrade the AI Infrastructure for Experimentation, Model Training, Inference, Monitoring, Governance, Deployment, and Feature Engineering, reducing the time between inception & delivery of ML Solutions by 60%.
    • Developed online and offline multi-tenant Feature Store for supporting ML workflows, serving over 5 million features per tenant, and reducing the run-time of ML Pipelines by 40%.
    • Developed event-driven CI/CD pipelines using GitHub Actions and Triggermesh for provisioning artifacts for ML Pipeline Components in various environments, resulting in a 70% faster provisioning of ML Artifacts.
    • Within two weeks, built an interactive Top-Down Price Optimisation Application for performing constrained optimization of prices to achieve revenue and profit goals by understanding the underlying mathematics of Lagrange’s Multipliers, analyzing customer data, and deploying on Kubernetes (Knative + Istio), leading to a key customer win 🎉 and bringing in millions in revenue.
    • View my work here, on Syncron's website.

    Tech Stack: AWS, Terraform, Kubernetes, Docker, Kubeflow, Python

  3. Associate Software Developer

    Syncron

    Bangalore, India

    • Developed AI Infrastructure by analyzing proprietary solutions & developing vendor-agnostic architecture using Kubernetes (Kubeflow + EKS) resulting in 90% reduction in operation costs from proprietary solutions.
    • Created Python Packages for interacting with Data Lake by analyzing the requirements of Data Scientists and MLOps Engineers, resulting in a smoother experience in both performing EDA(Exploratory Data Analysis) and developing scalable ML Pipelines and reducing the time spent in writing code for data query by 20%.
    • Developed end-to-end Pipelines for performing both Statistical and ML use cases like Volume Price Mix Analysis, Customer Segmentation, Affinity Analysis, & Quotation Guidance, automatically generating analytical dashboards for client use, and reducing the delivery time by over 60%.

    Tech Stack: AWS, Terraform, Kubernetes, Docker, Kubeflow, Python

  4. Intern

    Syncron

    Bangalore, India

    • Developed admin for the Business Intelligence (BI) platform for monitoring, alerting, and preventing cross-tenant access in a system of over 100 tenants and thousands of users per tenant.
    • Developed backup service for BI software, for managing periodic backups of BI Data Models and Dashboards, making BI reliable for thousands of users spanning over 100 tenants.

    Tech Stack: AWS, Terraform, Kubernetes, Docker, Kubeflow, Python

Rutu

Skills

Rutu

Programming Languages

Python

Go

Rust

C

C++

Containerization and Orchestration

Docker

Kubernetes

KubeFlow

KNative

Istio

KServe

KServe

ArgoCD

Helm

Triggermesh

Systems, Networking, and Benchmarking

Linux

eBPF

XDP

DPDK

perf

bpftrace

K6

Observability

OpenTelemetry

ClickHouse

Grafana

Domain Expertise

Networking

Observability

Benchmarking

Business Intelligence

Machine Learning

MLOps

Systems

DataOps

Cloud

Amazon Web Services

Tools and Frameworks

GitHub Actions

MLFlow

Pandas

Numpy

Scikit-Learn

Keras

Terraform

FastAPI

Serverless

Jupyter